0

parameter bl br a m and log-likelihood

1

the estimated distribution function computed on the provided points

2

the estimated density function computed on the provided points

-x

set initial conditions bl,br,a,m (default 2,2,1,1,0)

-m

the mode is not estimated but is set to the value provided

-s

number of intervals to explore at each iteration (default 10)

-V

verbosity level (default 0)

0

just the final result

1

intermediate steps results

2

intermediate steps internals

3+

details of optim. routine

-M

active estimation steps. The value is the sum of (default 1)

0

no optimization

1

global and local optimization

-G

set global optimization options. Fields are step,tol,iter,eps,msize,algo. Empty field implies default (default .1,1e-2,100,1e-3,1e-5,2)

-I

set local optimization options. Fields are step,tol,iter,eps,msize,algo. Empty field implies default (default .01,1e-3,200,1e-3,1e-5,2)

tol

line search tolerance iter: maximum number of iterations

eps

gradient tolerance : stopping criteria ||gradient||<eps

msize

simplex max size : stopping criteria ||max edge||<msize

algo

optimization methods: 0 Fletcher-Reeves, 1 Polak-Ribiere, 2 Broyden-Fletcher-Goldfarb-Shanno, 3 Steepest descent, 4 Nelder-Mead simplex, 5 Broyden-Fletcher-Goldfarb-Shanno ver.2 6 Nelder-Mead simplex ver. 2, 7 Nelder-Mead simplex rnd init.